Sentence examples for pattern of voxel activity from inspiring English sources

Unlike the spatial mean analysis, MVPA utilizes the distributed pattern of voxel activity within an ROI.

Pattern analysis involves using an algorithm to learn a function that distinguishes between experimental conditions using the pattern of voxel activity.

The patterns of voxel activity within each region of interest are then fitted to this target variable, producing a model evidence value.

Specifically, we used MVB to look for patterns of voxel activity within permanence responsive regions which mapped onto knowledge of permanent landmark locations as assessed in the post-scan navigation test.

MVB assumes that a small proportion of voxel activity patterns make a large contribution to decoding accuracy (i.e., information is sparsely coded).

As confirmed by simulations of voxel activity patterns, this classifier shows above-chance accuracy whenever there are any reliable differences between the nine activity patterns, independently of the underlying tuning functions, and therefore can detect any sequence representation.

These findings indicate that information pertaining to specific moral strategies is encoded in unique patterns of multi-voxel activity in specific brain regions, with patterns and regions being consistent across participants using the same strategy.

We looked for patterns of multi-voxel activity, while people viewed permanent landmarks in situ, which related to how well they were able to subsequently locate them in the post-scan navigation task.

The use of complex 3D shapes allowed us to measure the distributed pattern of voxel responses within higher-level visual cortex.

Second, by employing separate classification procedures of fMRI voxel activity patterns and testing for generalization of patterns across temporal or spatial contexts, we were able to dissociate independent spatial and temporal from integrated representation profiles across the human motor system.

(b) The distributed fMRI pattern maps in which voxel activity reliably contributes to the discrimination of pain (top panel) and rejection (bottom panel) from other conditions.